Cited by 36Infant Nutrition and HealthGut microbiota and healthSingle-cell and spatial transcriptomics

Non-invasive analysis of intestinal development in preterm and term infants using RNA-Sequencing

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Knight, Jason M., Davidson, Laurie A., Herman, Damir, Martin, Camilia R., Goldsby, Jennifer S., Ivanov, Ivan V., Donovan, Sharon M., Chapkin, Robert S.·2014·Scientific Reports

Abstract

The state and development of the intestinal epithelium is vital for infant health, and increased understanding in this area has been limited by an inability to directly assess epithelial cell biology in the healthy newborn intestine. To that end, we have developed a novel, noninvasive, molecular approach that utilizes next generation RNA sequencing on stool samples containing intact epithelial cells for the purpose of quantifying intestinal gene expression. We then applied this technique to compare host gene expression in healthy term and extremely preterm infants. Bioinformatic analyses demonstrate repeatable detection of human mRNA expression, and network analysis shows immune cell function and inflammation pathways to be up-regulated in preterm infants. This study provides incontrovertible evidence that whole-genome sequencing of stool-derived RNA can be used to examine the neonatal host epithelial transcriptome in infants, which opens up opportunities for sequential monitoring of gut gene expression in response to dietary or therapeutic interventions.

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  • Fecal exfoliome and host-microbial network analyses linked unfavorable taxa in non-responders to an LPS-dependent inflammatory signature including CXCL8/IL-8, IL-1β and TNF.

    “Analysis of the fecal exfoliome25 and network analysis integrating host and microbial data linked the presence of unfavorable taxa in NRs with an LPS-dependent inflammatory signature encompassing cytokines either directly or indirectly implicated in immune suppression, including CXCL8/interleukin (IL)-8, IL-1β and tumor necrosis factor.”

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Authors
Knight, J. M., Davidson, L. A., Herman, D., Martin, C. R., Goldsby, J. S., Ivanov, I. V., Donovan, S. M., & Chapkin, R. S.
Affiliations
  • Texas A&M University (US)
  • University of Arkansas for Medical Sciences (US)
  • Beth Israel Deaconess Medical Center (US)
  • University of Illinois Urbana-Champaign (US)
  • Texas A&M University System (US)
Corresponding author
Chapkin, Robert S.
Venue
Scientific Reports
Published
2014-06-26
Volume
4
Issue
1
Pages
5453-5453
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2103144203
Cited by
36
References
35
Citations by year
2026: 1 · 2025: 2 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 5 · 2019: 3 · 2018: 3 · 2017: 6 · 2016: 5 · 2015: 3 · 2014: 2
FWCI
4.97
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
  • OakTrust (Texas A&M University Libraries) (submittedVersion)
Funders
  • U.S. Department of Agriculture (2010–34402-20875)
  • National Institute of Food and Agriculture (2010‐34402‐20875)
  • National Cancer Institute (T32CA090301, CA-129444, R25CA090301, U01CA162077, R01CA129444)
  • National Institute of Environmental Health Sciences (P30ES023512)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD061929, HD61929)
Topics
  • Health Sciences › Nursing › Nutrition and Dietetics › Infant Nutrition and Health
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Keywords
intestinal development, preterm infants, term infants, intestinal epithelium, immune cell function, inflammatory signaling, extremely preterm birth
MeSH terms
Feces, Female, Humans, Infant, Newborn, Infant, Premature, Intestinal Mucosa, Male, RNA, Sequence Analysis, RNA, Proteome, Gene Expression Profiling

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